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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/64820
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/64820


    Title: Discovering Leaders from Social Network by Action Cascade
    Authors: Tsai, Ming-Feng;Tzeng, Chih-Wei;Lin, Zhe-Li;Chen, Arbee L. P.
    蔡銘峰
    Contributors: 資科系
    Keywords: Social Network Analysis;Path Mining;Opinion Leader Discovery
    Date: 2014
    Issue Date: 2014-03-21 17:46:46 (UTC+8)
    Abstract: This paper proposes an approach to discovering community leaders in social network by means of a probabilistic time-based graph propagation model. To conduct the approach, we define an exponential decay function for influence as a function of time, and build action-specific influence chains by multiplying path propagation values; then, we create general influence chains by normalizing over all possible actions. In the study, our approach identifies community leaders as those people whose initiated influence chains are relatively more than the chains they involved. In our experiments, a small Facebook network dataset with 134 nodes and 517 edges is employed to assess the performance of the proposed method. In addition, several baselines are also carried out for comparison, including three naive and one user-involved approaches. The experimental results show that, compared with the baselines, the proposed method can effectively identify community leaders within the social network, achieving 0.8 in terms of F-measure.
    Relation: Social Network Analysis and Mining,Proceedings of the Fifth Workshop on Social Network Systems
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1145/2181176.2181188
    DOI: 10.1145/2181176.2181188
    Appears in Collections:[資訊科學系] 期刊論文

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